AWS Python Developer

Tech3pillars Technologies
Charlotte, NC, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Cascading Style Sheets (CSS) Cloud Engineering Code Review Information Engineering Programming Tools Amazon DynamoDB
+41 more
Github R (Programming Language) Junit Python (Programming Language) PostgreSQL OAuth OpenID Oracle (Applications) Performance Tuning JSON Web Token Software Engineering SPARQL SQL Databases TypeScript Enterprise Data Management Datadog Scripting GitHub Copilot Flask (Web Framework) Grafana Prompt Engineering Spring-boot Software Security Gitlab Git Cloudformation Fastapi Pytest AngularJS Pyspark Kubernetes Amazon Bedrock Claude Cloudwatch Restful APIs Terraform Serverless Computing Docker Jenkins Amazon Redshift Microservices

Requirements

Software Engineering, Amazon Web Services (AWS), Python Programming/Scripting Language, Software Engineering, Amazon Web Services (AWS), Python Programming/Scripting Language, Application Programming Interface (API), REST (Representational State Transfer), Microservices, Jenkins, Strong hands-on development experience with: Python, including FastAPI or Flask Java and Spring Boot Angular, TypeScript, JavaScript, HTML, and CSS Experience developing RESTful APIs, microservices, serverless applications, and event-driven solutions. Strong experience with AWS cloud development and deployment. Experience with Python, PySpark, SQL, and data engineering or data analysis. Experience with Amazon Redshift, PostgreSQL/Aurora, Oracle, RDS, or DynamoDB. Experience with Git, GitLab, Jenkins, GitHub Actions, or AWS-native CI/CD tools. Experience with Docker, Kubernetes, ECS/EKS, Terraform, or CloudFormation. Knowledge of automated testing frameworks and practices. Understanding of application security, observability, performance optimization, and enterprise production support. Strong problem-solving, communication, collaboration, and code-review skills. Ability to work independently and within cross-functional teams.

Nice to have:- Experience with GitHub Copilot or other generative AI development tools. Knowledge of Amazon Bedrock, Claude Sonnet, prompt engineering, guardrails, or GenAI evaluation. Experience with Amazon Neptune, Gremlin, SPARQL, or Graph APIs. Knowledge of R programming. Experience with Karate, JUnit, Testcontainers, pytest, or similar testing frameworks. Familiarity with OpenTelemetry, CloudWatch, Datadog, or comparable observability tools. Knowledge of OAuth 2.0, OIDC, JWT, and enterprise data-governance practices. Financial services, mortgage, secondary-market, or Fannie Mae project experience.

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